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Contents

• Decennial 2010 Profile

• Technical Notes, Decennial Profile

• ACS 2008-12 Profile

• Technical Notes, ACS Profile

Decennial 2010 Profile X04

X04

Decennial 2010 Profile

1

X04 Decennial 2010 Profile

Sex and Age

80−84

85 and over

75−79

70−74

65−69

40−44

60−64

5−9

35−39

15−19

10−14

Under 5

30−34

45−49

20−24

55−59

25−29

50−54

200 100 0 100 200

Males

Females

X04

80−84

85 and over

75−79

70−74

65−69

10−14

60−64

55−59

5−9

50−54

45−49

Under 5

40−44

15−19

35−39

30−34

20−24

25−29

20,000 10,000 0 10,000 20,000

Males

Females

Atlanta

2


Race and Latino Origin

10%

85%

0%3%2%

Non−Hispanic White

Non−Hispanic Black

Non−Hispanic Asian

Hispanic/Latino

Other

X04

36%

53%

3%5% 2%

Non−Hispanic White

Non−Hispanic Black

Non−Hispanic Asian

Hispanic/Latino

Other

Atlanta

3


Housing Tenure

27%

8%

47%

19%

Owner−occupied with mortgage

Owner−occupied free and clear

Renter−occupied

Vacant

X04

29%

8%

45%

18%

Owner−occupied with mortgage

Owner−occupied free and clear

Renter−occupied

Vacant

Atlanta

4


Households by Type

16%

39%

45% Husband−wife family

Single−headed family

Non−family

X04

23%

20%

57%

Husband−wife family

Single−headed family

Non−family

Atlanta

5


Children by Household Type

15%

56%

26%

2%

Own parent(s), husband−wife family

Own parent, single−parent family

Other relative

Non−relative or group quarters

X04

38%

44%

16%

2%

Own parent(s), husband−wife family

Own parent, single−parent family

Other relative

Non−relative or group quarters

Atlanta

6


Population Change, 2000-2010

10.8

−15.6 −33.3 −20.2

17.1

−12.4

63.516.5

−10

00

100

200

300

400

500

600

700

800

900

1,00

01,

100

1,20

01,

300

1,40

01,

500

1,60

01,

700

1,80

01,

900

2,00

0

X04 Atlanta

Non−Hispanic White Non−Hispanic Black Non−Hispanic Asian Hispanic/Latino

Per

cent

7


SEX AND AGE Number PercentTotal population 4,632 100.0%

Under 5 years 312 6.7%5 to 9 years 300 6.5%10 to 14 years 291 6.3%15 to 19 years 320 6.9%20 to 24 years 374 8.1%25 to 29 years 384 8.3%30 to 34 years 325 7.0%35 to 39 years 306 6.6%40 to 44 years 283 6.1%45 to 49 years 362 7.8%50 to 54 years 363 7.8%55 to 59 years 329 7.1%60 to 64 years 253 5.5%65 to 69 years 166 3.6%70 to 74 years 118 2.5%75 to 79 years 70 1.5%80 to 84 years 39 0.8%85 years and over 37 0.8%

Median age (years) 35.2 (X)

16 years and over 3,675 79.3%18 years and over 3,534 76.3%21 years and over 3,341 72.1%62 years and over 568 12.3%65 years and over 430 9.3%

Male population 2,125 45.9%Under 5 years 150 3.2%5 to 9 years 151 3.3%10 to 14 years 131 2.8%15 to 19 years 163 3.5%20 to 24 years 181 3.9%25 to 29 years 176 3.8%30 to 34 years 154 3.3%35 to 39 years 150 3.2%40 to 44 years 143 3.1%45 to 49 years 184 4.0%50 to 54 years 153 3.3%55 to 59 years 127 2.7%60 to 64 years 105 2.3%65 to 69 years 65 1.4%70 to 74 years 54 1.2%75 to 79 years 15 0.3%80 to 84 years 14 0.3%85 years and over 9 0.2%


16 years and over 1,668 36.0%18 years and over 1,599 34.5%21 years and over 1,502 32.4%

Continued on next page...

8


SEX AND AGE (Continued) Number Percent62 years and over 213 4.6%65 years and over 157 3.4%

Female population 2,507 54.1%Under 5 years 162 3.5%5 to 9 years 149 3.2%10 to 14 years 160 3.5%15 to 19 years 157 3.4%20 to 24 years 193 4.2%25 to 29 years 208 4.5%30 to 34 years 171 3.7%35 to 39 years 156 3.4%40 to 44 years 140 3.0%45 to 49 years 178 3.8%50 to 54 years 210 4.5%55 to 59 years 202 4.4%60 to 64 years 148 3.2%65 to 69 years 101 2.2%70 to 74 years 64 1.4%75 to 79 years 55 1.2%80 to 84 years 25 0.5%85 years and over 28 0.6%


16 years and over 2,007 43.3%18 years and over 1,935 41.8%21 years and over 1,839 39.7%62 years and over 355 7.7%65 years and over 273 5.9%

RACE Number PercentTotal population 4,632 100.0%

One Race 4,568 98.6%White 500 10.8%Black or African American 3,983 86.0%American Indian and Alaska Native 10 0.2%Asian 20 0.4%

Asian Indian‡ 3 0.1%Chinese† ‡ 1 0.0%Filipino‡ 7 0.1%Japanese‡ 0 0.0%Korean‡ 0 0.0%Vietnamese‡ 12 0.3%Other Asian† ‡ 0 0.0%

Native Hawaiian and Other Pacific Islander† ‡ 4 0.1%Native Hawaiian‡ 0 0.0%Guamanian or Chamorro‡ 0 0.0%Samoan‡ 2 0.1%Other Pacific Islander‡ 0 0.0%

Some Other Race 51 1.1%Two or More Races 64 1.4%

White; American Indian and Alaska Native 3 0.1%White; Asian 3 0.1%White; Black or African American 21 0.5%White; Some Other Race 2 0.0%


9


RACE (Continued) Number PercentRace alone or in combination with one or more other races:White 539 11.6%Black or African American 4,037 87.2%American Indian and Alaska Native 32 0.7%Asian 28 0.6%Native Hawaiian and Other Pacific Islander 8 0.2%Some Other Race 62 1.3%

HISPANIC OR LATINO Number PercentTotal population 4,632 100.0%

Hispanic or Latino (of any race) 116 2.5%Mexican‡ 77 1.7%Puerto Rican‡ 20 0.4%Cuban‡ 7 0.2%Other Hispanic or Latino‡ 26 0.6%

Not Hispanic or Latino 4,516 97.5%

HISPANIC OR LATINO AND RACE Number PercentTotal population 4,632 100.0%

Hispanic or Latino 116 2.5%White alone 37 0.8%Black or African American alone 29 0.6%American Indian and Alaska Native alone 4 0.1%Asian alone 0 0.0%Native Hawaiian and Other Pacific Islander alone 0 0.0%Some Other Race alone 41 0.9%Two or More Races 5 0.1%

Not Hispanic or Latino 4,516 97.5%White alone 463 10.0%Black or African American alone 3,954 85.4%American Indian and Alaska Native alone 6 0.1%Asian alone 20 0.4%Native Hawaiian and Other Pacific Islander alone 4 0.1%Some Other Race alone 10 0.2%Two or More Races 59 1.3%

RELATIONSHIP Number PercentTotal population 4,632 100.0%

In households 4,600 99.3%Householder 1,905 41.1%Spouse 310 6.7%Child 1,294 27.9%

Own child under 18 years 789 17.0%Other relatives 681 14.7%

Under 18 years 288 6.2%65 years and over† 55 1.2%

Nonrelatives 410 8.9%Under 18 years 20 0.4%65 years and over 18 0.4%

Unmarried partner‡ 133 2.9%

In group quarters 32 0.7%Institutionalized population 0 0.0%

Male 0 0.0%Female 0 0.0%

Noninstitutionalized population 32 0.7%Continued on next page...

10


RELATIONSHIP (Continued) Number PercentMale 2 0.0%Female 30 0.6%

HOUSEHOLDS BY TYPE Number PercentTotal households 1,905 100.0%

Family households (families) 1,051 55.2%With own children under 18 years 435 22.8%

Husband-wife family 310 16.3%With own children under 18 years 96 5.0%

Male householder, no wife present 132 6.9%With own children under 18 years 44 2.3%

Female householder, no husband present 609 32.0%With own children under 18 years 295 15.5%

Nonfamily households 854 44.8%Householder living alone 660 34.6%

Male 360 18.9%65 years and over‡ 62 3.2%

Female 391 20.5%65 years and over‡ 108 5.6%

Households with individuals under 18 years 568 29.8%Households with individuals 65 years and over 366 19.2%

Average household size 2.41 (X)Average family size 3.17 (X)

HOUSING OCCUPANCY Number PercentTotal housing units 2,338 100.0%

Occupied housing units 1,905 81.5%Vacant housing units 433 18.5%

For rent 198 8.5%Rented, not occupied 7 0.3%For sale only 38 1.6%Sold, not occupied 39 1.7%For seasonal, recreational, or occasional use 1 0.0%All other vacants 150 6.4%

Homeowner vacancy rate (percent) 4.3 (X)Rental vacancy rate (percent) 15.3 (X)

HOUSING TENURE Number PercentOccupied housing units 1,905 100.0%

Owner-occupied housing units 814 42.7%Population in owner-occupied housing units 1,851 (X)Average household size of owner-occupied units 2.27 (X)

Renter-occupied housing units 1,091 57.3%Population in renter-occupied housing units 2,749 (X)Average household size of renter-occupied units 2.52 (X)

Notes:† Data may differ from the Census Bureau’s DP-1 totals due to differences in reporting methods (see Technical Notes).‡ Based on tract-level data (see Technical Notes).∞ Data could not be computed (see Technical Notes).

Report prepared by Emory University’s Center for Community Partnerships, a Neighborhood Nexus Core Partner.

11

Technical Notes, Decennial Profile

This is one in a series of reports featuring demographic profiles for the Neighborhood Planning Units (NPUs)and Neighborhood Statistical Areas (NSAs) making up the city of Atlanta. These profiles use data from the CensusBureau’s 2010 Census of Population and Housing and follow precisely the order, format, and content of the DP-1profiles available via the Census Bureau’s American Fact Finder online system. Because the American Fact Findersystem provides these ”fact sheets” only for cities, counties, states, and the nation as a whole, this report fills thegap for Atlantans interested in drilling down to smaller areas.

What is an Neighborhood Planning Unit (NPU)?

The Neighborhood Planning Unit system has its origins in the 1974 Citizen Involvement Ordinance, which cre-ated these bodies ”for engaging in comprehensive planning matters affecting the livability of neighborhoods.” Atlantais divided into 25 NPUs, each of which is comprised of a set of contiguous neighborhoods. Each NPU holds monthlymeetings at which residentes have the opportunity to provide input on matter such as variances, zoning issues, andlong-term planning.

What is an Neighborhood Statistical Area? Why not report dat a for neighborhoods?

Atlanta neighborhoods are ”self-identified” by residents. As a result, there are portions of the city that are not partof any neighborhood, while other parts are claimed by more than one neighborhood. Also, some neighborhoods arevery small; a few are as small as 1/100 of a square mile and have populations of 100 or fewer– much too small toreport sample-based statistics. To address these issues, we have defined Neighborhood Statistical Areas (NSAs).These areas: 1) are built from census blocks; 2) nest within NPUs; 3) have a minimum population of 2,000; 4) arecomprised of either a single lerge neighborhood or a set of contiguous smaller neighborhoods and adjacent territorythat is not part of a neighborhood; 5) assign all territory within the city limits to one, and only one statistical area.

Why is there so much less data in this report than in the 2000 De mographic Profiles?

The short answer is that the 2010 Census form asked only 10 questions, and that many items of interest (e.g.income, educational attainment, employment status, rents paid) no longer appear on the questionnaire.

A longer answer involves a bit of history to understand recent changes in how the Census Bureau collects data.First, it is worth noting that the decennial census is a constitutional requirement– Article I, Section 2 requires anenumeration of inhabitants once every 10 years to determine apportionment of the House of Representatives. Butthe only constitutional requirement is the count itself; the government has long seen fit to gather other data about thenation as an add-on to this process. Indeed, from 1940 until 2000, the Census Bureau actually conducted a census(counting of the entire population) simultaneously with a survey (measuring a sample of the population) simultane-ously: most households received a ”short form” with basic questions (e.g. age, sex, race), while a ”long form” witheverything contained on the ”short form” plus many other topics (e.g. educational attainment, occupation, income)was administered to a sample of households (varied by year and other factors, but roughly 1 in 7 households).

Because the decennial census takes place only once every ten years, it provides a single ”snapshot” of thecountry. But policymakers wanted to have more timely data, so the Census Bureau moved to a new ”continuousmeasurement” model followed by the American Community Survey (ACS), which had its nationwide launch in 2005.The ACS is a nationwide survey conducted by the U.S. Census Bureau on a continuous, rolling basis. It is intendedto replace the ”long form” that has been a component of the decennial census for the last several decades.

So will the most recent ACS fill in for the missing 2010 data?

Though the ACS is intended to replace the decennial long form, it is not a direct substitute. The two differ inmany important ways, but we will focus on a few key points.

First, as mentioned above, the ”continuous measurement” model means that the ACS is not a snapshot for anyparticular point in time. So while the decennial census measured where people lived on Census Day (historicallyApril 1st of years ending in 0), the ACS looks at where people live on the day they are surveyed. For example,ACS income measures look at the 12-month period preceding the survey date, while the decennial looked at theprevious calendar year. Second, the ACS sample is much smaller than that of the decennial census: roughly 2.5%each year. Even pooling the data over a 5-year period yields a combined sample of only about 12.5%, considerablysmaller than the roughly 16.7% sampled in the decennial census; the implications of this smaller sample on themargin of error for estimates is discussed below. Third, the pooling across years required to yield a decent-sizedsample for smaller areas creates complications for interpretation. Whereas the decennial census allowed one tosay, ”on April 1, 2000, X% of the population in region Y was unemployed,” we must now say ”over the course of theperiod 2005-2009, on average X% of the population in region Y was unemployed.”

When faced with a period of rapid change such as the onset of the ”Great Recession,” having a pooled estimateover a 5-year period is much less helpful than having a firm snapshot at a single point in time. So while the ACShas been of great help to policymakers interested in the effects of the Great Recession on large geographies suchas states, counties, and major cities (areas for which 1-year or 3-year estimates are available), it has created newchallenges for people interested in small cities and neighborhoods within larger cities.

To learn more about the ACS, how to use it, and how it differs from the decennial census, please refer to theCensus Bureau’s publication A Compass for Understanding and Using American Community Survey Data: WhatGeneral Data Users Need to Know.

How do you estimate medians, and why cannot they be estimated all of the time?

The median is that value that marks the 50% line in a population: 50% of the population is above the medianand 50% is below. With individual level data, one can simply sort the data and find the middle value (if the numberof items is odd) or take the average of the two middlemost values (if the number of items is even). However, theCensus Bureau reports grouped data, e.g. how many households fall into a particular income range. Estimatingmedians from grouped data involves finding the range that contains the middlemost value, then estimating the pointwithin that range that the middlemost value would occupy. The median cannot be estimated if it falls within a rangelacking a minimum or maximum value.

Why do you note that some figures are based on tract-level data ?

The Census Bureau reports most of the data used in this report at the census block level, a very granular levelof geography. However, some data are reported only for census tracts, which are generally much larger. Becausethe geographic areas in this report are built from blocks, data reported only for tracts must be re-estimated to theblock level. We do this by assigning tract-level data to blocks based on the proportion of the tract population residingwithin each block comprising that tract.

Why do you note that certain fields in this report may differ sl ightly from DP-1 totals?

A very small number of data fields were reported differently in the SF1 release (where block-level data are madeavailable) and in the DP-1 release (data released no lower than the tract. For example, the question of whetherChinese and Taiwanese are the same nationality was handled differently in the two releases. Though minor, thesedifferences are flagged in our reports.

ACS 2008-12 Profile X04

X04

ACS 2008-12 Profile

1

X04 ACS 2008-12 Profile

Percent without a High School Diploma or GED

0

20

40

60P

erce

nt

X04 NPU Citywide State Nation

Percent with a Bachelor’s Degree or Higher

0

20

40

60

80

100

Per

cent


Note: Bars represent the margin of error around each estimated value.

2


Percent Foreign-Born

0

10

20

30

40

50

Per

cent


Percent Speaking a Language other than English at Home

0

15

30

45

60

Per

cent



3


Percent Owner-Occupied

20

40

60

80

100P

erce

nt


Median Value of Owner-Occupied Housing Units

0

200,000

400,000

600,000

800,000

1,000,000

Dol

lars



4


Homeowner Vacancy Rate

0

25

50

75

Rat

e


Rental Vacancy Rate

0

25

50

75

Rat

e



5


Percent of Homeowners for whom Selected Monthly Owner Costs Exceed 30% of Income

0

20

40

60

80

100P

erce

nt


Percent of Housing Units Built Since 2000

0

25

50

75

100

Per

cent



6


Percent of Persons Living outside Home County 1 Year Earlier

0

10

20

30

40

50

Per

cent


Median Household Income

0

50,000

100,000

150,000

200,000

250,000

Dol

lars



7


Percent Civilian Unemployed

0

20

40

60P

erce

nt


Percent in Poverty

0

20

40

60

80

100

Per

cent



8


Selected Social Characteristics

HOUSEHOLDS BY TYPE Estimate Margin of Error Percent Margin of ErrorTotal households 1,901 ±217 1,901 (X)

Family households (families) 828 ±142 43.5% ±5.6With own children under 18 years 409 ±118 21.5% ±5.7

Married-couple family 230 ±78 12.1% ±3.9With own children under 18 years 96 ±52 5.0% ±2.7

Male householder, no wife present, family 175 ±95 9.2% ±4.9With own children under 18 years 40 ±50 2.1% ±2.6

Female householder, no husband present, family 422 ±109 22.2% ±5.1With own children under 18 years 273 ±94 14.4% ±4.7

Nonfamily households 1,073 ±205 56.5% ±8.6Householder living alone 913 ±189 48.0% ±8.365 years and over 195 ±85 10.3% ±4.3

Households with one or more people under 18 years 526 ±123 27.7% ±5.6Households with one or more people 65 years and over 348 ±84 18.3% ±3.9

Average household size 2.40 ±0.38 (X) (X)Average family size 3.92 ±0.85 (X) (X)

RELATIONSHIP Estimate Margin of Error Percent Margin of ErrorPopulation in households 4,555 ±512 4,555 (X)

Householder 1,931 ±230 42.4% ±1.6Spouse 292 ±94 6.4% ±1.9Child 1,334 ±311 29.3% ±6.0Other relatives 713 ±251 15.7% ±5.2Nonrelatives 284 ±132 6.2% ±2.8

Unmarried partner 138 ±81 3.0% ±1.8

MARITAL STATUS Estimate Margin of Error Percent Margin of ErrorMales 15 years and over 1,802 ±335 1,802 (X)

Never married 1,038 ±295 57.6% ±12.4Now married, except separated 360 ±122 20.0% ±5.7Separated 69 ±58 3.8% ±3.1Widowed 62 ±57 3.5% ±3.1Divorced 325 ±119 18.1% ±5.7

Females 15 years and over 1,844 ±332 1,844 (X)Never married 1,001 ±248 54.3% ±9.3Now married, except separated 315 ±99 17.1% ±4.4Separated 136 ±80 7.4% ±4.1Widowed 226 ±90 12.2% ±4.4Divorced 236 ±90 12.8% ±4.3

FERTILITY Estimate Margin of Error Percent Margin of ErrorNumber of women 15 to 50 years old who had a birthin the past 12 months

57 ±46 57 (X)

Unmarried women (widowed, divorced, and never married) 45 ±43 79.3% ±39.8Per 1,000 unmarried women 48 ±44 (X) (X)

Per 1,000 women 15 to 50 years old 48 ±38 (X) (X)Per 1,000 women 15 to 19 years old 63 ±208 (X) (X)Per 1,000 women 20 to 34 years old 86 ±82 (X) (X)Per 1,000 women 35 to 50 years old 7 ±49 (X) (X)

9


GRANDPARENTS Estimate Margin of Error Percent Margin of ErrorNumber of grandparents living with own grandchil-dren under 18 years

190 ±97 190 (X)

Responsible for grandchildren 45 ±34 23.8% ±13.3Years responsible for grandchildren

Less than 1 year 12 ±27 6.2% ±13.71 or 2 years 21 ±22 10.8% ±10.33 or 4 years 10 ±24 5.4% ±12.15 or more years 3 ±16 1.4% ±8.6

Number of grandparents responsible for own grand-children under 18 years

45 ±34 45 (X)

Who are female 41 ±30 90.3% ±95.0Who are married 16 ±27 34.5% ±53.5

SCHOOL ENROLLMENT Estimate Margin of Error Percent Margin of ErrorPopulation 3 years and over enrolled in school 1,148 ±266 1,148 (X)

Nursery school, preschool 78 ±81 6.8% ±6.9Kindergarten 74 ±59 6.5% ±4.9Elementary school (grades 1-8) 423 ±150 36.9% ±9.9High school (grades 9-12) 185 ±75 16.1% ±5.4College or graduate school 388 ±151 33.8% ±10.5

EDUCATIONAL ATTAINMENT Estimate Margin of Error Percent Margin of ErrorPopulation 25 years and over 3,026 ±397 3,026 (X)

Less than 9th grade 265 ±162 8.8% ±5.29th to 12th grade, no diploma 457 ±151 15.1% ±4.6High school graduate (includes equivalency) 1,154 ±238 38.1% ±6.1Some college, no degree 563 ±151 18.6% ±4.4Associate’s degree 159 ±96 5.3% ±3.1Bachelor’s degree 283 ±100 9.4% ±3.1Graduate or professional degree 145 ±94 4.8% ±3.0

Percent high school graduate or higher 76.1% ±4.2 (X) (X)Percent bachelor’s degree or higher 14.1% ±4.1 (X) (X)

VETERAN STATUS Estimate Margin of Error Percent Margin of ErrorCivilian population 18 years and over 3,515 ±527 3,515 (X)

Civilian veterans 377 ±132 10.7% ±3.4

DISABILITY STATUS OF THE CIVILIAN NON-INSTITUTIONALIZED POPULATION

Estimate Margin of Error Percent Margin of Error

Total Civilian Noninstitutionalized Population 4,622 ±512 4,622 (X)With a disability 969 ±224 21.0% ±4.3

Under 18 years 1,010 ±250 1,010 (X)With a disability 55 ±53 5.4% ±5.1

18 to 64 years 3,152 ±397 3,152 (X)With a disability 723 ±205 22.9% ±5.8

65 years and over 461 ±114 461 (X)With a disability 191 ±72 41.5% ±11.7

10


RESIDENCE 1 YEAR AGO Estimate Margin of Error Percent Margin of ErrorPopulation 1 year and over 4,632 ±517 4,632 (X)

Same house 3,778 ±504 81.6% ±6.0Different house in the U.S. 854 ±285 18.4% ±5.8

Same county 620 ±254 13.4% ±5.3Different county 234 ±128 5.1% ±2.7Same state 176 ±117 3.8% ±2.5Different state 58 ±52 1.3% ±1.1

Abroad 0 ±17 0.0% ±0.4

PLACE OF BIRTH Estimate Margin of Error Percent Margin of ErrorTotal population 4,569 ±678 4,569 (X)

Native 4,565 ±512 99.9% ±18.6Born in United States 4,555 ±562 99.7% ±19.2State of residence 3,192 ±457 69.9% ±14.4Different state 1,363 ±327 29.8% ±5.6

Born in Puerto Rico, U.S. Island areas, or born abroad toAmerican parent(s)

10 ±17 0.2% ±0.4

Foreign born 107 ±105 2.3% ±2.3

U.S. CITIZENSHIP STATUS Estimate Margin of Error Percent Margin of ErrorForeign-born population 107 ±105 107 (X)

Naturalized U.S. citizen 33 ±36 31.2% ±13.5Not a U.S. citizen 74 ±98 68.8% ±62.3

YEAR OF ENTRY Estimate Margin of Error Percent Margin of ErrorPopulation born outside the United States 117 ±107 117 (X)

Native 10 ±32 10 (X)Entered 2010 or later 0 ±17 0.0% ±173.3Entered before 2010 10 ±27 100.0% ±425.6

Foreign born 107 ±105 107 (X)Entered 2010 or later 0 ±17 0.0% ±15.9Entered before 2010 107 ±107 100.0% ±14.8

WORLD REGION OF BIRTH OF FOREIGN BORN Estimate Margin of Error Percent Margin of ErrorForeign-born population, excluding population bornat sea

107 ±105 107 (X)

Europe 9 ±21 8.6% ±17.6Asia 11 ±30 10.6% ±26.2Africa 0 ±17 0.0% ±15.9Oceania 0 ±17 0.0% ±15.9Latin America 86 ±101 80.8% ±51.3Northern America 0 ±17 0.0% ±15.9

LANGUAGE SPOKEN AT HOME Estimate Margin of Error Percent Margin of ErrorPopulation 5 years and over 4,178 ±598 4,178 (X)

English only 3,914 ±530 93.7% ±18.4Language other than English 264 ±179 6.3% ±4.2

Speak English less than ’very well’ 133 ±189 3.2% ±4.5Spanish 206 ±156 4.9% ±3.7Speak English less than ’very well’ 116 ±124 2.8% ±2.9

Other Indo-European languages 49 ±59 1.2% ±1.4Speak English less than ’very well’ 16 ±84 0.4% ±2.0

Asian and Pacific Islander languages 9 ±47 0.2% ±1.1Speak English less than ’very well’ 1 ±81 0.0% ±1.9

Other languages 0 ±47 0.0% ±1.1Speak English less than ’very well’ 0 ±81 0.0% ±1.9

11


ANCESTRY Estimate Margin of Error Percent Margin of ErrorTotal population 4,569 ±678 4,569 (X)

American 137 ±81 3.0% ±1.7Arab 0 ±17 0.0% ±0.4Czech 0 ±17 0.0% ±0.4Danish 0 ±17 0.0% ±0.4Dutch 5 ±19 0.1% ±0.4English 96 ±55 2.1% ±1.2French (except Basque) 2 ±16 0.0% ±0.4French Canadian 3 ±18 0.1% ±0.4German 114 ±91 2.5% ±2.0Greek 0 ±17 0.0% ±0.4Hungarian 3 ±17 0.1% ±0.4Irish 110 ±75 2.4% ±1.6Italian 55 ±62 1.2% ±1.3Lithuanian 2 ±16 0.0% ±0.4Norwegian 6 ±23 0.1% ±0.5Polish 11 ±18 0.2% ±0.4Portuguese 7 ±16 0.2% ±0.4Russian 0 ±17 0.0% ±0.4Scotch-Irish 17 ±21 0.4% ±0.5Scottish 48 ±55 1.0% ±1.2Slovak 0 ±17 0.0% ±0.4Subsaharan African 46 ±48 1.0% ±1.0Swedish 7 ±23 0.2% ±0.5Swiss 0 ±17 0.0% ±0.4Ukranian 0 ±17 0.0% ±0.4Welsh 8 ±27 0.2% ±0.6West Indian (excluding Hispanic origin groups) 9 ±23 0.2% ±0.5

Selected Economic Characteristics

EMPLOYMENT STATUS Estimate Margin of Error Percent Margin of ErrorPopulation 16 years and over 3,720 ±414 3,720 (X)

In labor force 2,191 ±316 58.9% ±5.4Civilian labor force 2,191 ±316 58.9% ±5.4Employed 1,835 ±294 49.3% ±5.7Unemployed 356 ±146 9.6% ±3.8

Armed Forces 0 ±76 0.0% ±2.0Not in labor force 1,529 ±286 41.1% ±6.2

Civilian labor force 2,191 ±316 2,191 (X)Percent Unemployed 16.3% ±6.3 (X) (X)

Females 16 years and over 1,927 ±279 1,927 (X)In labor force 1,117 ±216 58.0% ±7.4

Civilian labor force 1,117 ±216 58.0% ±7.4Employed 948 ±200 49.2% ±7.6

Own children under 6 years 424 ±188 424 (X)All parents in family in labor force 312 ±172 73.7% ±24.1

Own children 6 to 17 years 539 ±157 539 (X)All parents in family in labor force 478 ±158 88.7% ±14.1

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COMMUTING TO WORK Estimate Margin of Error Percent Margin of ErrorWorkers 16 years and over 1,799 ±292 1,799 (X)

Car, truck, or van – drove alone 1,097 ±222 61.0% ±7.4Car, truck, or van – carpooled 230 ±132 12.8% ±7.0Public transportation (excluding taxicab) 333 ±133 18.5% ±6.8Walked 8 ±18 0.4% ±1.0Other means 41 ±39 2.3% ±2.1Worked at home 90 ±68 5.0% ±3.7

Mean travel time to work (minutes) 31.9 ±4.9 (X) (X)

OCCUPATION Estimate Margin of Error Percent Margin of ErrorCivilian employed population 16 years and over 1,835 ±294 1,835 (X)

Management, business, science, arts occupations 385 ±117 21.0% ±5.4Service occupations 472 ±163 25.7% ±7.9Sales and office occupations 457 ±192 24.9% ±9.7Natural resources, construction, and maintenance occupa-tions

148 ±92 8.1% ±4.8

Production, transportation, and material moving occupations 278 ±106 15.1% ±5.3

INDUSTRY Estimate Margin of Error Percent Margin of ErrorCivilian employed population 16 years and over 1,835 ±294 1,835 (X)

Agriculture, forestry, fishing and hunting, and mining 0 ±38 0.0% ±2.1Construction 29 ±52 1.6% ±2.8Manufacturing 238 ±150 13.0% ±7.9Wholesale trade 31 ±48 1.7% ±2.6Retail trade 161 ±83 8.7% ±4.3Transportation and warehousing, and utilities 138 ±86 7.5% ±4.5Information 111 ±109 6.0% ±5.8Finance and insurance, and real estate and rental and leasing 64 ±47 3.5% ±2.5Professional, scientific, and management, and administrativeand waste management services

186 ±77 10.1% ±3.9

Educational services, and health care and social assistance 334 ±119 18.2% ±5.8Arts, entertainment, and recreation, and accommodation andfood services

287 ±137 15.6% ±7.0

Other services, except public administration 107 ±65 5.8% ±3.4Public administration 54 ±56 2.9% ±3.0

CLASS OF WORKER Estimate Margin of Error Percent Margin of ErrorCivilian employed population 16 years and over 1,835 ±294 1,835 (X)

Private wage and salary workers 1,470 ±299 80.1% ±10.0Government workers 191 ±92 10.4% ±4.7Self-employed in own not incorporated business workers 77 ±67 4.2% ±3.6Unpaid family workers 0 ±38 0.0% ±2.1

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INCOME AND BENEFITS (IN 2012 INFLATION-ADJUSTEDDOLLARS)


Total households 1,901 ±217 1,901 (X)Less than $10,000 537 ±165 28.2% ±8.1$10,000 to $14,999 174 ±92 9.2% ±4.7$15,000 to $24,999 211 ±92 11.1% ±4.7$25,000 to $34,999 267 ±102 14.0% ±5.1$35,000 to $49,999 261 ±123 13.8% ±6.3$50,000 to $74,999 236 ±95 12.4% ±4.8$75,000 to $99,999 79 ±60 4.1% ±3.1$100,000 to $149,999 112 ±63 5.9% ±3.3$150,000 to $199,999 23 ±33 1.2% ±1.7$200,000 or more 1 ±27 0.0% ±1.4Median household income (dollars) 26,506 ±3,933 (X) (X)Mean household income (dollars) 34,970 ±3,987 (X) (X)

With earnings 1,303 ±192 68.6% ±6.3Mean earnings (dollars) 42,215 ±4,886 (X) (X)

With Social Security 462 ±114 24.3% ±5.3Mean Social Security income (dollars) 10,627 ±1,406 (X) (X)

With retirement income 209 ±75 11.0% ±3.8Mean retirement income (dollars) 9,724 ±2,779 (X) (X)

With Supplemental Security Income 235 ±99 12.4% ±5.0Mean Supplemental Security Income (dollars) 8,921 ±2,387 (X) (X)

With cash public assistance income 122 ±80 6.4% ±4.1Mean cash public assistance income (dollars) 2,313 ±1,132 (X) (X)

With Food Stamp/SNAP benefits in the past 12 months 596 ±138 31.3% ±6.3

Families 828 ±142 828 (X)Less than $10,000 188 ±103 22.7% ±11.9$10,000 to $14,999 60 ±56 7.3% ±6.6$15,000 to $24,999 129 ±72 15.6% ±8.3$25,000 to $34,999 99 ±62 11.9% ±7.2$35,000 to $49,999 97 ±68 11.7% ±8.0$50,000 to $74,999 117 ±61 14.1% ±7.0$75,000 to $99,999 50 ±52 6.1% ±6.2$100,000 to $149,999 73 ±58 8.9% ±6.8$150,000 to $199,999 13 ±32 1.6% ±3.8$200,000 or more 1 ±27 0.1% ±3.3Median family income (dollars) 30,527 ±5,544 (X) (X)Mean family income (dollars) 40,565 ±7,588 (X) (X)

Per capita income (dollars) 15,607 ±888 (X) (X)

Nonfamily households 1,073 ±205 1,073 (X)Median nonfamily income (dollars) 23,592 ±6,475 (X) (X)Mean nonfamily income (dollars) 30,271 ±5,198 (X) (X)

Median earnings for workers (dollars) 21,474 ±2,981 (X) (X)Median earnings for male full-time, year-round workers (dol-lars)

34,959 ±4,157 (X) (X)

Median earnings for female full-time, year-round workers (dol-lars)

32,331 ±2,775 (X) (X)

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HEALTH INSURANCE COVERAGE Estimate Margin of Error Percent Margin of ErrorCivilian noninstitutionalized population 4,622 ±512 4,622 (X)With health insurance coverage 3,341 ±424 72.3% ±4.5With private health insurance 1,902 ±324 41.1% ±5.3With public coverage 1,738 ±324 37.6% ±5.6No health insurance coverage 1,281 ±301 27.7% ±5.7

Civilian noninstitutionalized population under 18years

1,010 ±250 1,010 (X)

No health insurance coverage 96 ±97 9.5% ±9.3

Civilian noninstitutionalized population 18 to 64 years 3,152 ±397 3,152 (X)In labor force: 2,109 ±331 2,109 (X)Employed: 1,761 ±298 1,761 (X)With health insurance coverage 1,263 ±256 71.7% ±8.0With private health insurance 1,199 ±249 68.1% ±8.2With public coverage 97 ±64 5.5% ±3.5No health insurance coverage 498 ±183 28.3% ±9.3

Unemployed: 349 ±144 349 (X)With health insurance coverage 100 ±69 28.7% ±15.8With private health insurance 64 ±47 18.4% ±11.1With public coverage 57 ±56 16.2% ±14.6No health insurance coverage 249 ±129 71.3% ±22.6

Not in labor force: 1,043 ±291 1,043 (X)With health insurance coverage 614 ±191 58.8% ±8.2With private health insurance 163 ±90 15.7% ±7.5With public coverage 495 ±176 47.5% ±10.5No health insurance coverage 429 ±215 41.2% ±17.2

PERCENTAGE OF FAMILIES AND PEOPLE WHOSE IN-COME IN THE PAST 12 MONTHS IS BELOW THEPOVERTY LEVEL


All families 37.4% ±13.1 (X) (X)With related children under 18 years 38.8% ±14.9 (X) (X)With related children under 5 years only 42.3% ±42.1 (X) (X)

Married couple families 14.2% ±13.5 (X) (X)With related children under 18 years 10.9% ±21.6 (X) (X)With related children under 5 years only 0.0% ±56.3 (X) (X)

Families with female householder, no husband present 41.3% ±15.0 (X) (X)With related children under 18 years 47.6% ±17.3 (X) (X)With related children under 5 years only 60.6% ±47.2 (X) (X)

All people 34.1% ±8.8 (X) (X)Under 18 years 34.8% ±10.7 (X) (X)

Related children under 18 years 34.9% ±17.2 (X) (X)Related children under 5 years 39.5% ±23.0 (X) (X)Related children 5 to 17 years 32.1% ±14.8 (X) (X)

18 years and over 33.9% ±6.8 (X) (X)18 to 64 years 33.6% ±7.5 (X) (X)65 years and over 35.7% ±14.3 (X) (X)

Related people in families 38.9% ±13.6 (X) (X)Unrelated individuals 15 years and over 41.5% ±7.4 (X) (X)

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Selected Housing Characteristics

HOUSING OCCUPANCY Estimate Margin of Error Percent Margin of ErrorTotal housing units 2,496 ±222 2,496 (X)

Occupied housing units 1,901 ±217 76.1% ±5.5Vacant housing units 595 ±160 23.9% ±6.0

Homeowner vacancy rate 3.5 ±6.0 (X) (X)Rental vacancy rate 16.8 ±7.5 (X) (X)

UNITS IN STRUCTURE Estimate Margin of Error Percent Margin of ErrorTotal housing units 2,496 ±222 2,496 (X)

1-unit, detached 1,557 ±176 62.4% ±4.31-unit, attached 42 ±35 1.7% ±1.42 units 101 ±80 4.1% ±3.23 or 4 units 167 ±86 6.7% ±3.45 to 9 units 312 ±131 12.5% ±5.110 to 19 units 130 ±71 5.2% ±2.820 or more units 178 ±89 7.1% ±3.5Mobile home 8 ±30 0.3% ±1.2Boat, RV, van, etc. 0 ±27 0.0% ±1.1

YEAR STRUCTURE BUILT Estimate Margin of Error Percent Margin of ErrorTotal housing units 2,496 ±222 2,496 (X)

Built 2010 or later 0 ±27 0.0% ±1.1Built 2000 to 2009 320 ±109 12.8% ±4.2Built 1990 to 1999 34 ±37 1.4% ±1.5Built 1980 to 1989 85 ±56 3.4% ±2.2Built 1970 to 1979 280 ±123 11.2% ±4.8Built 1960 to 1969 336 ±127 13.5% ±4.9Built 1950 to 1959 637 ±160 25.5% ±6.0Built 1940 to 1949 395 ±129 15.8% ±5.0Built 1939 or earlier 408 ±111 16.4% ±4.2

ROOMS Estimate Margin of Error Percent Margin of ErrorTotal housing units 2,496 ±222 2,496 (X)

1 room 195 ±121 7.8% ±4.82 rooms 55 ±50 2.2% ±2.03 rooms 280 ±112 11.2% ±4.44 rooms 409 ±136 16.4% ±5.25 rooms 656 ±159 26.3% ±5.96 rooms 535 ±147 21.5% ±5.67 rooms 254 ±87 10.2% ±3.48 rooms 58 ±42 2.3% ±1.79 rooms or more 54 ±45 2.2% ±1.8Median rooms 5.5 ±0.2 (X) (X)

BEDROOMS Estimate Margin of Error Percent Margin of ErrorTotal housing units 2,496 ±222 2,496 (X)

No bedroom 209 ±122 8.4% ±4.81 bedroom 352 ±124 14.1% ±4.82 bedrooms 871 ±186 34.9% ±6.83 bedrooms 850 ±169 34.1% ±6.14 bedrooms 177 ±86 7.1% ±3.45 or more bedrooms 36 ±40 1.5% ±1.6

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HOUSING TENURE Estimate Margin of Error Percent Margin of ErrorOccupied housing units 1,901 ±217 1,901 (X)

Owner-occupied 783 ±137 41.2% ±5.5Renter-occupied 1,118 ±201 58.8% ±8.2

Average household size of owner-occupied unit 2.60 ±0.50 (X) (X)Average household size of renter-occupied unit 2.17 ±0.27 (X) (X)

YEAR HOUSEHOLDER MOVED INTO UNIT Estimate Margin of Error Percent Margin of ErrorOccupied housing units 1,901 ±217 1,901 (X)

Moved in 2010 or later 294 ±124 15.5% ±6.3Moved in 2000 to 2009 994 ±192 52.3% ±8.1Moved in 1990 to 1999 254 ±88 13.4% ±4.4Moved in 1980 to 1989 148 ±79 7.8% ±4.0Moved in 1970 to 1979 140 ±71 7.4% ±3.6Moved in 1969 or earlier 70 ±71 3.7% ±3.7

VEHICLES AVAILABLE Estimate Margin of Error Percent Margin of ErrorOccupied housing units 1,901 ±217 1,901 (X)

No vehicles available 628 ±171 33.0% ±8.21 vehicle available 783 ±173 41.2% ±7.82 vehicles available 290 ±101 15.3% ±5.03 or more vehicles available 200 ±97 10.5% ±5.0

HOUSE HEATING FUEL Estimate Margin of Error Percent Margin of ErrorOccupied housing units 1,901 ±217 1,901 (X)

Utility gas 1,241 ±193 65.3% ±6.9Bottled, tank, or LP gas 25 ±32 1.3% ±1.7Electricity 623 ±168 32.8% ±8.0Fuel oil, kerosene, etc. 0 ±27 0.0% ±1.4Coal or coke 0 ±27 0.0% ±1.4Wood 0 ±27 0.0% ±1.4Solar energy 0 ±27 0.0% ±1.4Other fuel 0 ±27 0.0% ±1.4No fuel used 12 ±30 0.6% ±1.6

SELECTED CHARACTERISTICS Estimate Margin of Error Percent Margin of ErrorOccupied housing units 1,901 ±217 1,901 (X)

Lacking complete plumbing facilities 10 ±25 0.5% ±1.3Lacking complete kitchen facilities 99 ±76 5.2% ±3.9No telephone service available 152 ±96 8.0% ±5.0

OCCUPANTS PER ROOM Estimate Margin of Error Percent Margin of ErrorOccupied housing units 1,901 ±217 1,901 (X)

1.00 or less 1,804 ±263 94.9% ±8.61.01 to 1.50 69 ±62 3.6% ±3.31.51 or more 28 ±67 1.5% ±3.5

VALUE Estimate Margin of Error Percent Margin of ErrorOwner-occupied units 783 ±137 783 (X)

Less than $50,000 120 ±95 15.3% ±11.8$50,000 to $99,999 420 ±134 53.7% ±14.2$100,000 to $149,999 128 ±69 16.3% ±8.3$150,000 to $199,999 75 ±57 9.6% ±7.1$200,000 to $299,999 8 ±38 1.0% ±4.8$300,000 to $499,999 27 ±45 3.4% ±5.7$500,000 to $999,999 6 ±37 0.8% ±4.8$1,000,000 or more 0 ±27 0.0% ±3.5Median (dollars) 88,525 ±3,957 (X) (X)

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MORTGAGE STATUS Estimate Margin of Error Percent Margin of ErrorOwner-occupied units 783 ±137 783 (X)

Housing units with a mortgage 556 ±130 71.1% ±10.9Housing units without a mortgage 227 ±81 28.9% ±9.0

SELECTED MONTHLY OWNER COSTS (SMOC) Estimate Margin of Error Percent Margin of ErrorHousing units with a mortgage 556 ±130 556 (X)

Less than $300 0 ±38 0.0% ±6.9$300 to $499 6 ±38 1.0% ±6.8$500 to $699 34 ±42 6.1% ±7.4$700 to $999 142 ±79 25.5% ±13.0$1,000 to $1,499 246 ±110 44.3% ±16.9$1,500 to $1,999 50 ±43 8.9% ±7.4$2,000 or more 79 ±69 14.2% ±11.9Median (dollars) 1,178 ±81 (X) (X)

Housing units without a mortgage 227 ±81 227 (X)Less than $100 0 ±27 0.0% ±11.9$100 to $199 16 ±38 6.9% ±16.6$200 to $299 48 ±43 21.0% ±17.6$300 to $399 64 ±58 28.1% ±23.6$400 or more 100 ±76 44.0% ±29.9Median (dollars) 343 ±57 (X) (X)

SELECTED MONTHLY OWNER COSTS AS A PERCENT-AGE OF HOUSEHOLD INCOME (SMOCAPI)


Housing units with a mortgage (excluding units whereSMOCAPI cannot be computed)

556 ±155 556 (X)

Less than 20.0 percent 181 ±80 32.6% ±11.320.0 to 24.9 percent 81 ±52 14.5% ±8.425.0 to 29.9 percent 57 ±53 10.2% ±9.130.0 to 34.9 percent 66 ±66 11.9% ±11.435.0 percent or more 171 ±87 30.8% ±13.1

Not computed 0 ±27 (X) (X)

Housing unit without a mortgage (excluding unitswhere SMOCAPI cannot be computed)

219 ±110 219 (X)

Less than 10.0 percent 64 ±42 29.1% ±12.510.0 to 14.9 percent 47 ±33 21.5% ±10.215.0 to 19.9 percent 10 ±24 4.7% ±10.820.0 to 24.9 percent 4 ±26 1.8% ±11.725.0 to 29.9 percent 7 ±27 3.3% ±12.030.0 to 34.9 percent 0 ±27 0.0% ±12.335.0 percent or more 87 ±81 39.6% ±31.2


GROSS RENT Estimate Margin of Error Percent Margin of ErrorOccupied units paying rent 1,053 ±201 1,053 (X)

Less than $200 28 ±60 2.6% ±5.6$200 to $299 54 ±69 5.1% ±6.5$300 to $499 55 ±72 5.2% ±6.8$500 to $749 300 ±129 28.5% ±11.0$750 to $999 272 ±117 25.8% ±9.9$1,000 to $1,499 331 ±110 31.4% ±8.6$1,500 or more 13 ±40 1.2% ±3.8Median (dollars) 943 ±39 (X) (X)

No rent paid 65 ±73 (X) (X)

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GROSS RENT AS A PERCENTAGE OF HOUSEHOLD IN-COME (GRAPI)


Occupied units paying rent (excluding units whereGRAPI cannot be computed)

946 ±207 946 (X)

Less than 15.0 percent 28 ±50 3.0% ±5.215.0 to 19.9 percent 36 ±39 3.8% ±4.020.0 to 24.9 percent 111 ±80 11.8% ±8.125.0 to 29.9 percent 147 ±86 15.6% ±8.530.0 to 34.9 percent 54 ±62 5.7% ±6.435.0 percent or more 569 ±145 60.2% ±7.9


Selected Demographic Characteristics

SEX AND AGE Estimate Margin of Error Percent Margin of ErrorTotal Population 4,569 ±678 4,569 (X)

Male 2,365 ±421 51.8% ±5.1Female 2,204 ±406 48.2% ±5.3

Under 5 years 390 ±156 8.5% ±3.25 to 9 years 293 ±138 6.4% ±2.910 to 14 years 240 ±93 5.3% ±1.915 to 19 years 304 ±144 6.6% ±3.020 to 24 years 315 ±155 6.9% ±3.225 to 34 years 576 ±180 12.6% ±3.535 to 44 years 521 ±141 11.4% ±2.645 to 54 years 831 ±200 18.2% ±3.455 to 59 years 331 ±115 7.2% ±2.360 to 64 years 313 ±142 6.9% ±2.965 to 74 years 264 ±117 5.8% ±2.475 to 84 years 125 ±68 2.7% ±1.485 years and over 66 ±59 1.4% ±1.3

Median age (years) 38.1 ±1.9 (X) (X)

18 years and over 3,515 ±433 76.9% ±14.821 years and over 3,260 ±405 71.4% ±13.862 years and over 640 ±185 14.0% ±3.565 years and over 455 ±148 10.0% ±2.9

18 years and over 3,515 ±433 3,515 (X)Male 1,749 ±325 49.8% ±6.9Female 1,766 ±286 50.2% ±5.3

65 years and over 455 ±148 455 (X)Male 210 ±106 46.1% ±18.0Female 245 ±102 53.9% ±14.2

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RACE Estimate Margin of Error Percent Margin of ErrorTotal population 4,569 ±678 4,569 (X)

One race 4,431 ±684 97.0% ±4.1Two or more races 138 ±109 3.0% ±2.3One race 4,431 ±684 97.0% ±4.1

White 655 ±238 14.3% ±4.8Black or African American 3,651 ±638 79.9% ±7.4American Indian and Alaska Native 27 ±41 0.6% ±0.9Cherokee tribal grouping 4 ±18 0.1% ±0.4Chippewa tribal grouping 0 ±17 0.0% ±0.4Navajo tribal grouping 0 ±17 0.0% ±0.4Sioux tribal grouping 0 ±17 0.0% ±0.4

Asian 15 ±29 0.3% ±0.6Asian Indian 0 ±17 0.0% ±0.4Chinese 8 ±34 0.2% ±0.7Filipino 0 ±17 0.0% ±0.4Japanese 0 ±17 0.0% ±0.4Korean 7 ±16 0.2% ±0.4Vietnamese 0 ±17 0.0% ±0.4Other Asian 0 ±56 0.0% ±1.2

Native Hawaiian and Other Pacific Islander 0 ±17 0.0% ±0.4Native Hawaiian 0 ±17 0.0% ±0.4Guamanian or Chamorro 0 ±17 0.0% ±0.4Samoan 0 ±17 0.0% ±0.4Other Pacific Islander 0 ±45 0.0% ±1.0

Some other race 90 ±132 2.0% ±2.9Two or more races 138 ±109 3.0% ±2.3

White and Black or African American 64 ±86 1.4% ±1.9White and American Indian and Alaska Native 18 ±43 0.4% ±0.9White and Asian 0 ±27 0.0% ±0.6Black or African American and American Indian andAlaska Native

6 ±27 0.1% ±0.6

Race alone or in combination with one or more other racesTotal population 4,569 ±678 4,569 (X)

White 785 ±259 17.2% ±5.1Black or African American 3,760 ±635 82.3% ±6.6American Indian and Alaska Native 93 ±68 2.0% ±1.5Asian 8 ±27 0.2% ±0.6Native Hawaiian and Other Pacific Islander 10 ±28 0.2% ±0.6Some other race 90 ±132 2.0% ±2.9

HISPANIC OR LATINO AND RACE Estimate Margin of Error Percent Margin of ErrorTotal population 4,569 ±678 4,569 (X)

Hispanic or Latino (of any race) 202 ±174 4.4% ±3.7Mexican 164 ±169 3.6% ±3.7Puerto Rican 10 ±14 0.2% ±0.3Cuban 18 ±36 0.4% ±0.8Other Hispanic or Latino 11 ±35 0.2% ±0.8

Not Hispanic or Latino 4,294 ±671 94.0% ±4.6White alone 516 ±165 11.3% ±3.2Black or African American alone 3,643 ±637 79.7% ±7.4American Indian and Alaska Native alone 9 ±31 0.2% ±0.7Asian alone 8 ±27 0.2% ±0.6Native Hawaiian and Other Pacific Islander alone 0 ±27 0.0% ±0.6Some other race alone 0 ±27 0.0% ±0.6Two or more races 118 ±101 2.6% ±2.2Two races including Some other race 0 ±27 0.0% ±0.6Two races excluding Some other race, and 118 ±101 2.6% ±2.2Three or more races

Source: U.S. Census Bureau, 2008-2012 American Community SurveyValues marked with a period denote estimates that could not be computed.Values marked ***** denote ’controlled’ estimates for which statistical tests for sampling variability are not appropriate.

Report prepared by Emory University’s Center for Community Partnerships, a Neighborhood Nexus Core Partner.

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Technical Notes, ACS Profile

This is one in a series of reports featuring demographic profiles for the Neighborhood Planning Units (NPUs)and Neighborhood Statistical Areas (NSAs) making up the city of Atlanta. These profiles use data from the CensusBureau’s 2008-2012 American Community Survey 5-year estimates and follow precisely the order, format, andcontent of the ACS-based ”fact sheets” available via the Census Bureau’s American Fact Finder online system.Because the American Fact Finder system provides these ”fact sheets” only for cities, counties, states, and thenation as a whole, this report fills the gap for Atlantans interested in drilling down to smaller areas.

What is an Neighborhood Planning Unit (NPU)?

The Neighborhood Planning Unit system has its origins in the 1974 Citizen Involvement Ordinance, which cre-ated these bodies ”for engaging in comprehensive planning matters affecting the livability of neighborhoods.” Atlantais divided into 25 NPUs, each of which is comprised of a set of contiguous neighborhoods. Each NPU holds monthlymeetings at which residentes have the opportunity to provide input on matter such as variances, zoning issues, andlong-term planning.

What is an Neighborhood Statistical Area? Why not report dat a for neighborhoods?

Atlanta neighborhoods are ”self-identified” by residents. As a result, there are portions of the city that are not partof any neighborhood, while other parts are claimed by more than one neighborhood. Also, some neighborhoodsare very small; a few are 1/50 of a square mile or less and have populations of 100 or fewer– much too small toreport sample-based statistics. To address these issues, we have defined Neighborhood Statistical Areas (NSAs).These areas: 1) are built from census blocks; 2) nest within NPUs; 3) have a minimum population of 2,000; 4) arecomprised of either a single lerge neighborhood or a set of contiguous smaller neighborhoods and adjacent territorythat is not part of a neighborhood; 5) assign all territory within the city limits to one, and only one statistical area.

What is the American Community Survey, and What is a 5-Year Es timate?

The American Community Survey is a nationwide survey conducted by the U.S. Census Bureau on a continuous,rolling basis. It is intended to replace the ”long form” that has been a component of the decennial census for the lastseveral decades.

From 1940 until 2000, the Census Bureau actually conducted a census (counting of the entire population) anda survey (measuring a sample of the population) simultaneously: most households received a ”short form” withbasic questions (e.g. age, sex, race), while a ”long form” with everything contained on the ”short form” plus manyother topics (e.g. educational attainment, occupation, income) was administered to a sample of households (variedby year and other factors, but roughly 1 in 7 households). As the name implies, the decennial census took placeonly once every ten years, providing a single ”snapshot” of the country. But policymakers wanted to have moretimely data, so the Census Bureau moved to the new ”continuous measurement” model of the ACS, which had itsnationwide launch in 2005.

Though the ACS is a replacement for the long form component of the census, it is not a direct substitute. Thetwo differ in many important ways, but we will focus on a few key points.

First, as mentioned above, the ”continuous measurement” model means that the ACS is not a snapshot for anyparticular point in time. So while the decennial census measured where people lived on Census Day (historicallyApril 1st of years ending in 0), the ACS looks at where people live on the day they are surveyed. For example,ACS income measures look at the 12-month period preceding the survey date, while the decennial looked at theprevious calendar year. Second, the ACS sample is much smaller than that of the decennial census: roughly 2.5%each year. Even pooling the data over a 5-year period yields a combined sample of only about 12.5%, considerably

smaller than the roughly 16.7% sampled in the decennial census; the implications of this smaller sample on themargin of error for estimates is discussed below. Third, the pooling across years required to yield a decent-sizedsample for smaller areas creates complications for interpretation. Whereas the decennial census allowed one tosay, ”on April 1, 2000, X% of the population in region Y was unemployed,” we must now say ”over the course of theperiod 2005-2009, on average X% of the population in region Y was unemployed.” When faced with a period of rapidchange such the onset of the ”Great Recession,” having a pooled estimate over a 5-year period is much less helpfulthan having a firm snapshot at a single point in time. So while the ACS has been of great help to policymakersinterested in the effects of the Great Recession on large geographies such as states, counties, and major cities(areas for which 1-year or 3-year estimates are available), it has created new challenges for people interested insmall cities and neighborhoods within larger cities.

To learn more about the ACS, how to use it, and how it differs from the decennial census, please refer to theCensus Bureau’s publication A Compass for Understanding and Using American Community Survey Data: WhatGeneral Data Users Need to Know.

What is a Margin of Error, and Why is its Calculation so Import ant?

It is not feasible to administer the long form or the ACS to the entire population. Fortunately, this is not necessary:just like a single spoonful can tell you if a pot of soup has enough salt, a reasonable estimate of a population maybe derived from a quality sample. The quality of a sample depends on two factors: its representativeness and itssize. In some sense, the representativeness is the more important of the two: a biased sample, however large, cannever yield a good estimate. After adding salt to your soup but before tasting, you stir the soup. Otherwise you’ll geta spoonful of extra-salty soup not representative of the pot as a whole. Randomly sampling the population has thesame effect as stirring the soup: you get a sample that is representative of the population from which it was drawn.But the spoonful of soup doesn’t have exactly the same proportion of salt as the rest of the pot: it contains the ”true”amount, plus or minus some amount due to chance. We call that chance variation from the true amount ”samplingerror.” The larger the sample, the smaller that error is likely to be, though the marginal reduction in sampling errorof increasing the sample size by a unit declines as the number of units goes up.

Proper reporting of a sample-based estimate, therefore, requires three pieces of information: a ”point estimate”(our best estimate of the actual value), plus a margin of error, given a particular confidence level (which allowassessment of the quality of the estimate): we are 90% confident that the pot of soup has 8,500 milligrams of salt,plus or minus 500 milligrams. Holding a sample size constant, increasing the confidence level forces us to increasethe margin of error (we would have to increase the size of the range to be 99% confident that our range containsthe true value).

When applying this concept to the ACS, we should first note that the Census Bureau typically reports a 90%confidence interval: we are 90% certain that the true number lies within the reported range. When looking at coun-ties or large cities, the samples are large and the confidence intervals small. But for smaller cities and geographiessuch as census tracts, even the five-year pooled sample is quite small– yielding a rather large confidence interval.When the confidence intervals for two areas overlap, we cannot tell whether the difference we observed is real oran artifact caused by sampling error (or, to use the technical term, the differences are not ”statistically significant”).

Although you can simply add the raw population of two census tracts together, estimating the margin of error forthe resultant area is somewhat more complicated. To estimate the margin of error for numbers and proportions, wefollow the method recommended in Appendix 3 of the Census Bureau’s publication A Compass for Understandingand Using American Community Survey Data: What General Data Users Need to Know. To estimate the margin oferror for medians, we follow the method recommended on pages 16-17 of 2005-2009 ACS 5-year PUMS Accuracyof the Data.

What tables from the ACS were used to compile these Demograph ic Profiles?

SOCIALIndicators Table(s)Households by Type B11001Average Household Size B09019, B11001Relationship B09019Marital Status B12001Fertility B13002Grandparents B10050School Enrollment B14001Educational Attainment B15002Veteran Status B21001Disability Status B18101Residence 1 Year Ago B07003Place of Birth B05002Year of Entry, Native B05005World Region of Birth of Foreign Born B05006Language Spoken at Home B16004Ancestry B04006

ECONOMICIndicators Table(s)Employment Status B23001Employment for parents of Own Children B23008Commuting to Work B08101Mean Travel Time to Work B08013, B08101Occupation C24010Industry C24030Class of Worker B24080Household Income B19001Median Household Income B19013Mean Household Income B19025, B19001Households with Earnings B19051Mean Earnings B19061, B19051Households with Social Security B19055Mean Social Security B19065, B19055Households with Retirement Income B19059Mean Retirement Income B19069, B19059Households with SSI Income B19056Mean SSI Income B19066, B19056Households with Public Assistance Income B19057Mean Public Assistance Income B19067, B19057


ECONOMICIndicators Table(s)Households with Food Stamp/SNAP Income B22001Family Income B19101Median Family Income B19113Mean Family Income B19127, B19101Per Capita Income B19313, B01001Median Non-Family Income B19202Mean Non-Family Income B19214, B19201Median Earnings for Workers B20017Health Insurance Coverage B18135, B27011Poverty: Families B17010Poverty: People B17001Poverty: Related Children B17006Poverty: Related People in Families B17021Poverty: Unrelated individuals 15 years and over B17007

HOUSINGIndicators Table(s)Housing Occupancy B25002Homeowner vacancy rate B25003, B25004Rental vacancy rate B25003, B25004Units in Structure B25024Year Structure Built B25034Rooms B25017Median Number of rooms B25018Bedrooms B25041Housing Tenure B25009Average Household size of occupied units B25008, B25003Year Householder Moved into Unit B25038Vehicles Available B25044House Heating Fuel B25040Selected Characteristics: Lacking Plumbing B25048Selected Characteristics: Lacking CompleteKitchen

B25052

Selected Characteristics: Lacking Telephone B25043Occupants per Room B25014Value of Housing Unit B25075Median housing unit value B25077Mortgage Status B25081Selected Monthly Owner Costs B25087Median Selected Monthly Owner Costs B25088


HOUSINGIndicators Table(s)Selected Monthly Owner Costs as a Percentageof Household Income

B25091

Gross Rent B25063Median Gross Rent B25064Gross Rent as a Percentage of Household In-come

B25070

DEMOGRAPHICIndicators Table(s)Sex and Age B01001Median Age B01002Race C02003Tribal Groupings B02005Asian Groupings B02006Hawaiian and Pacific Islander Groupings B02007Race Alone or In Combination with One or MoreOther Races

B02008, B02009, B02010, B02011, B02012, B02013

Hispanic or Latino and Race B03001, B03002

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